Учебные материалы по LLM

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How to Speed Up Local LLMs with DFlash Speculative Decoding

Learn how to accelerate local Gemma 4 31B inference on a single RTX 4090 using DFlash speculative decoding and Flash Attention against a baseline setup.

17 июня 2026 г.

Claude Opus 4.8 API Tutorial: Tuning the Effort Parameter

Build a Streamlit app that runs Claude Opus 4.8 with adaptive thinking, auto-scores each response with Haiku 4.5, and charts the cost-quality tradeoff.

5 июня 2026 г.

SGLang Tutorial: Serving Mistral Medium 3.5 Locally

Set up a multi-GPU Docker environment with tensor parallelism and EAGLE speculative decoding to serve Mistral Medium 3.5 128B through an OpenAI-compatible API.

1 июня 2026 г.

Multi-Token Prediction Tutorial: How To Speed Up LLMs

Run Qwen3.6 27B on an RTX 3090 and learn how Multi-Token Prediction (MTP) with llama.cpp can boost local LLM inference by almost 2x without upgrading your GPU.

14 мая 2026 г.

GPT-Realtime-2 API Tutorial: Three Tests, Three Verdicts

Learn how OpenAI's gpt-realtime-2, gpt-realtime-translate, and gpt-realtime-whisper differ, then test each one with working Python WebSocket code.

12 мая 2026 г.

How to Run DeepSeek V4 Flash Locally

Learn how to run the full DeepSeek V4 Flash model on a single GPU using a modified llama.cpp build and a compatible GGUF file in this hands-on tutorial.

5 мая 2026 г.

DeepSeek V4 API Tutorial: Building a Thinking Mode Arena

Learn how DeepSeek V4's three reasoning modes work, and build a Streamlit comparison app that shows when each mode actually wins on quality, speed, and cost.

30 апреля 2026 г.

Fine-Tuning NVIDIA Nemotron-3-Nano On Psychology Q&A Data

Learn to fine-tune NVIDIA Nemotron-3-Nano-4B on a psychology Q&A dataset using an RTX 3090 GPU using LoRA and TRL after downloading the model from Hugging Face.

29 апреля 2026 г.

Qwen 3.6 Plus API Tutorial: Building an Invoice Processing Pipeline in Python

Learn how to use Alibaba's Qwen 3.6 Plus, Python, and the OpenAI SDK to build an automated invoice processing pipeline with native vision and tool calling.

27 апреля 2026 г.

Fine-Tuning Qwen3.6 On a Medical Q&A Dataset

Learn how to fine-tune Qwen3.6 on an H100 NVL GPU using SFT, from dataset preparation and 4-bit loading to training and evaluation.

21 апреля 2026 г.

LLM As a Judge: A Complete Guide With Hands-On RAG Example

Learn how to build an automated LLM-as-a-judge system to evaluate your RAG pipelines for faithfulness and relevance at scale and bridge the gap in AI testing.

20 апреля 2026 г.

Claude Opus 4.7 API Tutorial: Building a Chart Digitizer

Learn the capabilities of Anthropic’s best publicly available model, Claude Opus 4.7, and build a data science tool that can turn a chart into raw data.

20 апреля 2026 г.